Digital histopathological images of biopsy predict response to neoadjuvant chemotherapy for locally advanced gastric cancer-Reference-Cited by-同舟云学术

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Digital histopathological images of biopsy predict response to neoadjuvant chemotherapy for locally advanced gastric cancer

Published:2023-06-15 Issue:5 Volume:26 Page:734-742
ISSN:1436-3291
Container-title:Gastric Cancer
language:en
Short-container-title:Gastric Cancer

Author:

Zhou Zhihao,Ren Yong,Zhang Zhimei,Guan Tianpei,Wang Zhixiong,Chen Wei,Luo Tedong,Li Guanghua^ORCID

Funder

Young Scientists Fund

Natural Science Foundation of Guangdong Province

The Kelin New Star Program of Sun Yat-sen University

Shenzhen Science and Technology Innovation Program

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Gastroenterology,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10120-023-01407-z.pdf

Reference30 articles.

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.

2. Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lordick F. Gastric cancer. Lancet (London, England). 2020;396(10251):635–48.

3. Pelc Z, Skórzewska M, Rawicz-Pruszyński K, Polkowski WP. Lymph node involvement in advanced gastric cancer in the era of multimodal treatment-oncological and surgical perspective. Cancers. 2021;13(10):2509.

4. Gervaso L, Pellicori S, Cella CA, Bagnardi V, Lordick F, Fazio N. Biomarker evaluation in radically resectable locally advanced gastric cancer treated with neoadjuvant chemotherapy: an evidence reappraisal. Ther Adv Med Oncol. 2021;13:17588359211029560.

5. Sun J, Wang X, Zhang Z, Zeng Z, Ouyang S, Kang W. The sensitivity prediction of neoadjuvant chemotherapy for gastric cancer. Front Oncol. 2021;11: 641304.

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1. An integrated radiopathomics machine learning model to predict pathological response to preoperative chemotherapy in gastric cancer;Academic Radiology;2024-08

2. Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review;Frontiers in Oncology;2024-03-27

3. Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study;PLOS ONE;2024-01-19

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